Imperial College London

M H Ferri Aliabadi

Faculty of EngineeringDepartment of Aeronautics

Chair in Aerostructures
 
 
 
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Contact

 

+44 (0)20 7594 5077m.h.aliabadi

 
 
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Assistant

 

Miss Lisa Kelly +44 (0)20 7594 5056

 
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Location

 

CAGB323City and Guilds BuildingSouth Kensington Campus

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Summary

 

Summary

Professor of Aerostructures & Zaharoff  Professor of Aviation, FRAeS, FIMA, CEng, CMaths

Adminstrative Duties

Head of Department of Aeronautics, Imperial College (2009-2017). Prior to joining Imperial College in 2005, he was Professor of Computational Mechanics, Director of Research and the Director of Aerospace Engineering at Queen Mary, University of London (1997-2004) and Reader and Head of Damage Tolerance Division at WIT, Southampton (1987-1996), Ben Franklin Scholar, PA, USA (1986), Research Fellow, Aero and Astro, Southampton University (1984-86)

Ferri Aliabadi has worked in the field of  Solids and Structures and has established an international reputation for his achievements in development of Computational Methods related to Fracture & Damage Mechanics. He has pioneered a new generation of boundary element method for structural integrity analysis. Research in computational mechanics (BEM, FEM and MeshFree)  include: Acoustics noise control, Nonlinear Mechanics, Contact and Wear Mechanics, Optimisation and Reliability Analysis and Multiscale Material Modelling (http://www.imperial.ac.uk/structural-integrity-health-monitoring/).

During the last decade, he has also pursued research and development in Structural Health Monitoring (SHM) for composite airframe in collaboration with the aeronautics industry (Airbus, Leonardo) supported by significant EU funding. He has been PI and coordinator of several EU projects including SMASH and SCOPE and coordinated the SHM platform for the wing in SARISTU project. One of the latest project is a 10 million Euro Cleansky II, core-partnership SHERLOC which he is the PI and coordinator with the aim of developing the next generation of smart (highly sensorised) composite airframe. Current projects also include EU Horizon 2020 projects BANNG and AVATAR on digital twining and ATI project with Rolls Royce related to hydrogen fuel tank. 

Ferri Aliabadi has published 480 papers in leading international journals and 63 books related to Experimental and Computational Methods in Solids and Structures ( https://scholar.google.com/citations?user=ufrrb6kAAAAJ&hl=en ). He has been the editor in chief of 6 international journals and is editor in chief of international journal of Multiscale Modelling (https://www.worldscientific.com/worldscinet/jmm) and  Experimental and Computational Methods in Solids and Structures book series (https://www.worldscientific.com/series/cems). He is also on editorial board of 8 other international journals. Ferri Aliabadi has been recipient of several awards including a Distinguished Achievement Medal and the George Green Medal sponsored by Elsevier for his contribution to the field of computational mechanics. Prof Aliabadi has supervised 76 successful PhD studies and 22 post doctoral researchers.  

Ferri Aliabadi has coordinated and participated in 39 national and international research projects and continues to work closely with the aerospace sector in UK and Europe. He is a frequent Keynote speaker at international conferences related to Structural Mechanics and Computational Methods and has given many lecture tours internationally on the topic. 

Publications

Journals

Feng T, Sharif Khodaei Z, Aliabadi MHF, 2022, Influence of composite thickness on ultrasonic guided wave propagation for damage detection, Sensors, Vol:22, ISSN:1424-8220

Aliabadi M, 2022, Deep learning approach to impact classification in sensorized panels using self-attention, Sensors, Vol:22, ISSN:1424-8220, Pages:1-17

Morse L, Mallardo V, Aliabadi FMH, 2022, Manufacturing cost and reliability-based shape optimization of plate structures, International Journal for Numerical Methods in Engineering, Vol:123, ISSN:0029-5981, Pages:2189-2213

Feng T, Aliabadi MHF, 2022, Smart patch for structural health monitoring of composite repair, Applied Sciences, Vol:12, ISSN:2076-3417

Conference

Giannakeas IN, Khodaei ZS, Aliabadi MH, 2023, Model Assisted Probability of Detection Using a Digital Clone Platform for Composite Structures, 10th European Workshop on Structural Health Monitoring (EWSHM), SPRINGER-VERLAG SINGAPORE PTE LTD, Pages:679-688, ISSN:2366-2557

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